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Designing and Implementing a Microsoft Azure AI Solution(AI-102)

Designing and Implementing a Microsoft Azure AI Solution(AI-102)


AI-102 Designing and Implementing an Azure AI Solution is intended for software developers wanting to build AI infused applications that leverage Azure Cognitive Services, Azure Cognitive Search, and Microsoft Bot Framework. The course will use C# or Python as the programming language.


Wat leer je?


  • Describe considerations for AI-enabled application development
  • Create, configure, deploy, and secure Azure Cognitive Services
  • Develop applications that analyze text
  • Develop speech-enabled applications
  • Create applications with natural language understanding capabilities
  • Create QnA applications
  • Create conversational solutions with bots
  • Use computer vision services to analyze images and videos
  • Create custom computer vision models
  • Develop applications that detect, analyze, and recognize faces
  • Develop applications that read and process text in images and documents
  • Create intelligent search solutions for knowledge mining


Welke voorkennis heb je nodig?


Before attending this course, students must have:


  • Knowledge of Microsoft Azure and ability to navigate the Azure portal
  • Knowledge of either C# or Python
  • Familiarity with JSON and REST programming semantics


Trainingsvorm
Designing and Implementing a Microsoft Azure AI Solution(AI-102)

Wij proberen je aanvraag binnen 2 werkdagen te verwerken. Telefoonnummer is niet direct nodig, maar handig als we nog vragen hebben.

Heb je een vraag?

Neem dan contact op met onze klantenservice voor studieadvies of een training op maat.

Designing and Implementing a Microsoft Azure AI Solution(AI-102)

Wij proberen je aanvraag zo snel mogelijk te beantwoorden. Meestal zou dat op de dag zelf gebeuren. Om je sneller van dienst te zijn vragen we je telefoonnummer.

Trainingsdata

Startdatum

Trainingsvorm

Locatie

Duur

Prijs

datum:
23 augustus 2021

Virtueel

Virtual

4 dagen

1,635.00

Designing and Implementing a Microsoft Azure AI Solution(AI-102)(virtueel)_2021-08-23(Virtueel)

Wij proberen je aanvraag binnen 2 werkdagen te verwerken. Telefoonnummer is niet direct nodig, maar handig als we nog vragen hebben.

DatumStarttijdEindtijd
2021-08-2609:0016:00
2021-08-2509:0016:00
2021-08-2409:0016:00
2021-08-2309:0016:00
datum:
23 augustus 2021

Klassikaal

Startel (Drachten)

4 dagen

1,800.00

Designing and Implementing a Microsoft Azure AI Solution(AI-102)_2021-08-23(Klassikaal)

Wij proberen je aanvraag binnen 2 werkdagen te verwerken. Telefoonnummer is niet direct nodig, maar handig als we nog vragen hebben.

DatumStarttijdEindtijd
2021-08-2609:0016:00
2021-08-2509:0016:00
2021-08-2409:0016:00
2021-08-2309:0016:00
datum:
01 november 2021

Virtueel

Virtual

4 dagen

1,635.00

Designing and Implementing a Microsoft Azure AI Solution(AI-102)(virtueel)_2021-11-01(Virtueel)

Wij proberen je aanvraag binnen 2 werkdagen te verwerken. Telefoonnummer is niet direct nodig, maar handig als we nog vragen hebben.

DatumStarttijdEindtijd
2021-11-0409:0016:00
2021-11-0309:0016:00
2021-11-0209:0016:00
2021-11-0109:0016:00
datum:
01 november 2021

Klassikaal

Startel (Drachten)

4 dagen

1,800.00

Designing and Implementing a Microsoft Azure AI Solution(AI-102)_2021-11-01(Klassikaal)

Wij proberen je aanvraag binnen 2 werkdagen te verwerken. Telefoonnummer is niet direct nodig, maar handig als we nog vragen hebben.

DatumStarttijdEindtijd
2021-11-0409:0016:00
2021-11-0309:0016:00
2021-11-0209:0016:00
2021-11-0109:0016:00
datum:

In company

Designing and Implementing a Microsoft Azure AI Solution(AI-102)_(In company)

Wij proberen je aanvraag binnen 2 werkdagen te verwerken. Telefoonnummer is niet direct nodig, maar handig als we nog vragen hebben.

Waarom Startel?

Persoonlijke
aanpak
Ervaren
trainers
Aanbod
op maat
Klassikaal en e-learning
mogelijkheden

Het programma


Module 1: Introduction to AI on Azure


Artificial Intelligence (AI) is increasingly at the core of modern apps and services. In this module, you'll learn about some common AI capabilities that you can leverage in your apps, and how those capabilities are implemented in Microsoft Azure. You'll also learn about some considerations for designing and implementing AI solutions responsibly.


Lessons


  • Introduction to Artificial Intelligence
  • Artificial Intelligence in Azure


After completing this module, students will be able to:


  • Describe considerations for creating AI-enabled applications
  • Identify Azure services for AI application development


Module 2: Developing AI Apps with Cognitive Services


Cognitive Services are the core building blocks for integrating AI capabilities into your apps. In this module, you'll learn how to provision, secure, monitor, and deploy cognitive services.


Lessons


  • Getting Started with Cognitive Services
  • Using Cognitive Services for Enterprise Applications


Lab : Get Started with Cognitive Services


Lab : Manage Cognitive Services Security


Lab : Monitor Cognitive Services


Lab : Use a Cognitive Services Container


After completing this module, students will be able to:


  • Provision and consume cognitive services in Azure
  • Manage cognitive services security
  • Monitor cognitive services
  • Use a cognitive services container


Module 3: Getting Started with Natural Language Processing


Natural Language processing (NLP) is a branch of artificial intelligence that deals with extracting insights from written or spoken language. In this module, you'll learn how to use cognitive services to analyze and translate text.


Lessons


  • Analyzing Text
  • Translating Text


Lab : Analyze Text


Lab : Translate Text


After completing this module, students will be able to:


  • Use the Text Analytics cognitive service to analyze text
  • Use the Translator cognitive service to translate text


Module 4: Building Speech-Enabled Applications


Many modern apps and services accept spoken input and can respond by synthesizing text. In this module, you'll continue your exploration of natural language processing capabilities by learning how to build speech-enabled applications.


Lessons


  • Speech Recognition and Synthesis
  • Speech Translation


Lab : Recognize and Synthesize Speech


Lab : Translate Speech


After completing this module, students will be able to:


  • Use the Speech cognitive service to recognize and synthesize speech
  • Use the Speech cognitive service to translate speech


Module 5: Creating Language Understanding Solutions


To build an application that can intelligently understand and respond to natural language input, you must define and train a model for language understanding. In this module, you'll learn how to use the Language Understanding service to create an app that can identify user intent from natural language input.


Lessons


  • Creating a Language Understanding App
  • Publishing and Using a Language Understanding App
  • Using Language Understanding with Speech


Lab : Create a Language Understanding App


Lab : Create a Language Understanding Client Application


Lab : Use the Speech and Language Understanding Services


After completing this module, students will be able to:


  • Create a Language Understanding app
  • Create a client application for Language Understanding
  • Integrate Language Understanding and Speech


Module 6: Building a QnA Solution


One of the most common kinds of interaction between users and AI software agents is for users to submit questions in natural language, and for the AI agent to respond intelligently with an appropriate answer. In this module, you'll explore how the QnA Maker service enables the development of this kind of solution.


Lessons


  • Creating a QnA Knowledge Base
  • Publishing and Using a QnA Knowledge Base


Lab : Create a QnA Solution


After completing this module, students will be able to:


  • Use QnA Maker to create a knowledge base
  • Use a QnA knowledge base in an app or bot


Module 7: Conversational AI and the Azure Bot Service


Bots are the basis for an increasingly common kind of AI application in which users engage in conversations with AI agents, often as they would with a human agent. In this module, you'll explore the Microsoft Bot Framework and the Azure Bot Service, which together provide a platform for creating and delivering conversational experiences.


Lessons


  • Bot Basics
  • Implementing a Conversational Bot


Lab : Create a Bot with the Bot Framework SDK


Lab : Create a Bot with Bot Framework Composer


After completing this module, students will be able to:


  • Use the Bot Framework SDK to create a bot
  • Use the Bot Framework Composer to create a bot


Module 8: Getting Started with Computer Vision


Computer vision is an area of artificial intelligence in which software applications interpret visual input from images or video. In this module, you'll start your exploration of computer vision by learning how to use cognitive services to analyze images and video.


Lessons


  • Analyzing Images
  • Analyzing Videos


Lab : Analyze Images with Computer Vision


Lab : Analyze Video with Video Indexer


After completing this module, students will be able to:


  • Use the Computer Vision service to analyze images
  • Use Video Indexer to analyze videos


Module 9: Developing Custom Vision Solutions


While there are many scenarios where pre-defined general computer vision capabilities can be useful, sometimes you need to train a custom model with your own visual data. In this module, you'll explore the Custom Vision service, and how to use it to create custom image classification and object detection models.


Lessons


  • Image Classification
  • Object Detection


Lab : Classify Images with Custom Vision


Lab : Detect Objects in Images with Custom Vision


After completing this module, students will be able to:


  • Use the Custom Vision service to implement image classification
  • Use the Custom Vision service to implement object detection


Module 10: Detecting, Analyzing, and Recognizing Faces


Facial detection, analysis, and recognition are common computer vision scenarios. In this module, you'll explore the user of cognitive services to identify human faces.


Lessons


  • Detecting Faces with the Computer Vision Service
  • Using the Face Service


Lab : Detect, Analyze, and Recognize Faces


After completing this module, students will be able to:


  • Detect faces with the Computer Vision service
  • Detect, analyze, and recognize faces with the Face service


Module 11: Reading Text in Images and Documents


Optical character recognition (OCR) is another common computer vision scenario, in which software extracts text from images or documents. In this module, you'll explore cognitive services that can be used to detect and read text in images, documents, and forms.


Lessons


  • Reading text with the Computer Vision Service
  • Extracting Information from Forms with the Form Recognizer service


Lab : Read Text in Images


Lab : Extract Data from Forms


After completing this module, students will be able to:


  • Use the Computer Vision service to read text in images and documents
  • Use the Form Recognizer service to extract data from digital forms


Module 12: Creating a Knowledge Mining Solution


Ultimately, many AI scenarios involve intelligently searching for information based on user queries. AI-powered knowledge mining is an increasingly important way to build intelligent search solutions that use AI to extract insights from large repositories of digital data and enable users to find and analyze those insights.


Lessons


  • Implementing an Intelligent Search Solution
  • Developing Custom Skills for an Enrichment Pipeline
  • Creating a Knowledge Store


Lab : Create an Azure Cognitive Search solution


Lab : Create a Custom Skill for Azure Cognitive Search


Lab : Create a Knowledge Store with Azure Cognitive Search


After completing this module, students will be able to:


  • Create an intelligent search solution with Azure Cognitive Search
  • Implement a custom skill in an Azure Cognitive Search enrichment pipeline
  • Use Azure Cognitive Search to create a knowledge store

Hoe maken we het persoonlijk?

Bij Startel is persoonlijk ook écht persoonlijk. Om de best passende trainingen te geven starten we met het belangrijkste ingrediënt: jou.

  1. We starten altijd met een intake om jou te leren kennen.
  2. We passen de Training aan de hand van jouw ambitie en doelen aan.
  3. We kijken ook naar jouw persoonlijke situatie om de lesstof zo praktisch mogelijk te maken.

Contact formulier

categorie: 
  • Azure
  • , Cloud
  • , Data

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